Introduction

The System &Artificial Intelligence (SAI) lab focuses on exploring the field where deep learning and hardware system intersect. Our primary goal is to co-optimize AI algorithms and the underlying hardware architecture to enhance the implementation of AI. Additionally, we leverage AI as a powerful tool to streamline the hardware design process.

 

If you are interested in working with us, please send your CV to sailabapplication@gmail.com.

Ph.D. Students

  • Tianhua Xia (ECE)
  • Haiyu Wang (ECE)
  • Leshu Li (CS)
  • Luka Govedic (CS)
  • Henry Kam (CS) (Co-supervise with Prof. Qi Sun)

Masters

  • Jishnu Warrier (EE)
  • Yifan Hu (EE)

  • Yutong Wang (EE)
  • Yifei Feng (EE)
  • Xintong He (CS)
  • Satyapragnya Kar (CS)

  • Yin Wang (CS)
  • Jiajing Zheng (CS)
  • Shawn Yin (CS)

 

If you are NYU students and interested in working with me, please contact me directly:)

Undergrads/Interns

  • Xuetong Liu (Zhejiang University)

  • Shengyang Tao (NYU)

 

Yixuan Luo

Chao Gao

Tianhua Xia

Jingyang Xiang

Jiajun Qin

Zhenyuan Dong

Khushi Sharma

Mingzhi Zhu

Hongyi Zeng

Rahul Raman

Shuo Xin

Kedong Xiu

Fengze Yu

Qiance Tang

Ziqi Wang

Su Chen

Xingyu Liu

Yunhai Hu

Zining Liu

Yanzhou Tang

 

 

I am always taking undergrads/interns (can be remote) to work on the AI accelerator, efficient AI and AI privacy:), each intern will be supervised by me directly, most of them will end up with a top conference submission by the end of the internship.